Time-domain analysis of cross-correlation for multitarget/multipath time delay estimation

A. Kumar, Y. Bar-Shalom
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引用次数: 1

Abstract

This paper analyzes the effect of source separation on the estimation accuracy of the TDOA of multiple exponentially autocorrelated signals at two sensors in white noise. The analysis is carried out for uncorrelated signals (separate sources) as well as unity correlated signals, as in multipath propagation from a single source. The estimates are obtained from cross-correlations based on moving average samples of the noisy signals from the two sensors. The effect of the source separation on the degradation ratio is evaluated and compared with the optimal processor. The theoretical performance is verified through simulations for different SNRs and time-bandwidth products. Another advantage of the technique is that it avoids ambiguities in the cross-correlation.<>
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多目标多径时延估计的时域互相关分析
本文分析了源分离对双传感器在白噪声条件下多重指数自相关信号TDOA估计精度的影响。对不相关信号(分离源)和统一相关信号进行分析,如从单一源进行多径传播。估计是通过基于两个传感器的噪声信号的移动平均样本的互相关获得的。评估了源分离对降解率的影响,并与最优处理器进行了比较。通过对不同信噪比和时带宽产品的仿真验证了理论性能。该技术的另一个优点是它避免了相互关系中的歧义
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